VAST Challenge 2021 (Mini-Challenge 2) Part 2

Investigating the Mini-Challenge 2 of VAST Challenge 2021: A Continuation

5.4 Question 4 And Its Answers (A Continuation From Part 1)

Given the data sources provided, identify potential informal or unofficial relationships among GASTech personnel. Provide evidence for these relationships. Please limit your response to 8 images and 500 words.

5.4.1 Elsa (ID: 7, Black Line) And Brand (ID: 33, Blue Line) Are Seeing Each Other

Both were frequenting the following places together at similar times and for similar durations:
- Chostus Hotel
- Frydos Autosupply n’ More
- Gathering at Engineer’s Lars Home on 10th Jan Late Evening
- Hippokampos on 15th Jan Afternoon
- Ouzeri Elian on 6th Jan Afternoon

Code

tmap_mode("view")

Q5.4.1 <- tm_shape(sea_poly) +
  tm_polygons(col = "lightblue") +
tm_shape(Kronos_sf_small) +
  tm_polygons(col = "beige") +
tm_shape(Abila_st_buffer) +
  tm_polygons(col = "white") +
tm_shape(gps_path %>% filter(id == 7)) + # Extract Elsa's path
  tm_lines(col = "black",
           lty = 1,
           id = "RoleNName") +
tm_shape(gps_path %>% filter(id == 33)) + # Extract Brand's path
  tm_lines(col = "blue",
           lty = 1,
           id = "RoleNName") +  
tm_shape(spots_median_sf) +
  tm_dots(col = "Location.Type",
          id = "Location",                # Bold in group
          popup.vars = "Location Type:" == "Location.Type",
          size = 0.2)

Q5.4.1

5.4.2 21 Hennie Osvaldo Has Two Homes, Of Which Are Shared By Other Tenants

Hennie seem to stay in two separate homes on different evenings:
- Either with Lidelse and Birgitta
- Or with Inga, Loreto and Isia

Code

tmap_mode("view")

Q5.4.2 <- tm_shape(sea_poly) +
  tm_polygons(col = "lightblue") +
tm_shape(Kronos_sf_small) +
  tm_polygons(col = "beige") +
tm_shape(Abila_st_buffer) +
  tm_polygons(col = "white") +
tm_shape(gps_path %>% filter(id == 21)) + # Extract Hennie's path
  tm_lines(col = "black",
           lty = 1,
           id = "RoleNName") +  
tm_shape(spots_median_sf %>%
           filter(Location == "Shared Home B - 14 Lidelse 18 Birgitta 21 Hennie" | Location == "Shared Home E - 13 Inga 15 Loreto 16 Isia 21 Hennie")) +
  tm_dots(col = "green",
          size = 0.2)

Q5.4.2

5.4.3 Bertrand (ID: 29, Black Line) And Linnea (ID: 6, Blue Line) Are Seeing Each Other

Although both are staying in the same housing together with Kanon, both seem to frequent the same coffee chain in the mornings and food outlet in the evenings together. Kanon was not present during these meal times.
- Coffee Cameleon
- Katerina’s Cafe

Code

tmap_mode("view")

Q5.4.3 <- tm_shape(sea_poly) +
  tm_polygons(col = "lightblue") +
tm_shape(Kronos_sf_small) +
  tm_polygons(col = "beige") +
tm_shape(Abila_st_buffer) +
  tm_polygons(col = "white") +
tm_shape(gps_path %>% filter(id == 29 & day != 19)) + # Extract Bertrand's path and removed 19th Jan since its single point throws an error in the linestring
  tm_lines(col = "black",
           lty = 1,
           id = "RoleNName") +
tm_shape(gps_path %>% filter(id == 6)) + # Extract Linnea's path
  tm_lines(col = "blue",
           lty = 1,
           id = "RoleNName") +  
tm_shape(spots_median_sf) +
  tm_dots(col = "Location.Type",
          id = "Location", # Bold in group
          popup.vars = "Location Type:" == "Location.Type",
          size = 0.2)

Q5.4.3

5.4.4 Lidelse (ID: 14, Black Line) And Birgitta (ID: 18, Blue Line) Are Seeing Each Other

Similarly, although both are staying in the same housing together with Hennie, both seem to frequent the same coffee chains in the mornings and food outlets in the afternoon and evenings together. Hennie was not present during these meal times.
- Guy’s Gyros
- Bean There Done That
- Katerina’s Cafe
- Hallowed Grounds

Code

tmap_mode("view")

Q5.4.4 <- tm_shape(sea_poly) +
  tm_polygons(col = "lightblue") +
tm_shape(Kronos_sf_small) +
  tm_polygons(col = "beige") +
tm_shape(Abila_st_buffer) +
  tm_polygons(col = "white") +
tm_shape(gps_path %>% filter(id == 14)) + # Extract Lidelse's path
  tm_lines(col = "black",
           lty = 1,
           id = "RoleNName") +
tm_shape(gps_path %>% filter(id == 18)) + # Extract Birgitta's path
  tm_lines(col = "blue",
           lty = 1,
           id = "RoleNName") +  
tm_shape(spots_median_sf) +
  tm_dots(col = "Location.Type",
          id = "Location",                # Bold in group
          popup.vars = "Location Type:" == "Location.Type",
          size = 0.2)

Q5.4.4

Continuing On To Part 3